Sentinel
AI Data Protection & Governance Infrastructure
If your team uses AI with client, patient, or operational data, exposure is already happening.
Missed policy checks. No audit trail. Sensitive prompts leaving the system.
This is not for early-stage teams experimenting. This is for companies already operating with real data and revenue.
Most organizations are already leaking sensitive data through AI tools without realizing it.
Critical infrastructure for AI data protection
Supports HIPAA, GDPR, DPDP-ready workflows
Limited onboarding capacity. No long-term contracts.
Risk shows up quietly
- Employees pasting client data into AI tools
- No visibility into AI usage
- No clear audit trail for compliance
- Shadow AI usage growing across teams
Most teams don't realize where data is leaking until it's too late.
One unnoticed data leak can cost more than Sentinel itself.
Not for everyone
Sentinel is built for teams handling real client, patient, or operational data.
What this looks like in the real world
Without Sentinel
An employee pastes client data into ChatGPT. No visibility. No control. No audit trail.
With Sentinel
Sentinel intercepts, blocks, logs, and alerts instantly before sensitive data leaves the system.
How it works
User input enters. Sensitive data is checked. Unsafe prompts are blocked or redacted. Safe activity is logged.
01
Risk Assessment
Map current AI usage and identify where data exposure risks exist.
02
System Design
Define the right controls, policies, and routing for your environment.
03
Pilot Deployment
Run a limited rollout on one workflow or team to validate the control layer in production.
04
Full Deployment
Integrate Sentinel into the workflows and systems your teams already use.
05
Monitoring & Protection
Keep AI activity controlled with ongoing visibility, alerts, and enforcement.
Control layer
Sentinel case study
Blocked sensitive client data from leaving AI tools
Context
Law Firm (AI Governance System)
Problem
Staff were using AI with confidential client data and no control layer in place.
Solution
Sentinel intercepts prompts, redacts sensitive data, and logs all activity before anything leaves the system.
Result
Deployed in 3 weeks
“Before Sentinel, we had zero visibility into how AI was being used with client data. Now everything is controlled and logged.”
— Operations Lead, Law Firm
Based on real deployment scenarios
Deployment validated with real client workflows
Who this is for
Law Firms
Protect confidential case data and keep it out of uncontrolled AI usage.
Healthcare
Protect patient data and keep AI usage inside controlled workflows.
Enterprises
Prevent internal leaks and control AI usage around sensitive business data.
Deployment ladder
Risk Assessment
$1,500
See where AI usage is exposing the business before you deploy anything bigger.
Outcome: exposure map and priority controls
Speed: clear next steps in days
Risk removal: no rollout required
Proof: built from live AI usage patterns
Access: direct audit review
Pilot Deployment
$7,500
Control one workflow first. Validate the control layer before a broader rollout.
Outcome: one risky workflow brought under control
Speed: 2–3 weeks
Risk removal: scoped and measurable
Proof: production validation
Access: audit + pilot review
Full Deployment
$18K–$35K
Deploy the control layer across the workflows that matter most.
Outcome: policy enforcement, logging, and control in the live path
Speed: 2–4 weeks
Risk removal: pilot first if needed
Proof: law firm deployment model
Access: review until stable
Enterprise
Custom
For multi-team rollouts, stricter compliance coverage, and deeper governance requirements.
Outcome: controlled AI usage at scale
Speed: phased rollout
Risk removal: staged deployment
Proof: auditability and control coverage
Access: priority support
Most teams start with pilot.
2–4 weeks depending on integrations and system complexity.
Limited onboarding capacity. No long-term contracts.
Common questions
Why do teams need Sentinel?
Because AI usage usually spreads before control does. Sentinel adds the policy, logging, and interception layer before sensitive data leaves the system.
How fast can Sentinel be deployed?
Most teams start with a risk assessment or pilot first. Typical deployment timing depends on workflow complexity and integrations.
Does Sentinel support compliance work?
Yes. It helps teams build visibility, audit logs, and policy enforcement around HIPAA, GDPR, and similar requirements.
Can teams start small?
Yes. A pilot deployment is the lowest-friction way to validate control on one workflow or one team before expanding.
What kind of teams is Sentinel built for?
It is built for teams handling real client, patient, or operational data. Not lightweight experimentation use cases.
Entry offer
Start with a free system audit
We show where AI usage creates exposure, where policy breaks, and what to control first.
If you're handling sensitive data, you already have exposure risk.
Sentinel prevents costly leaks, compliance failures, and unsafe AI usage before they spread.
Limited onboarding capacity. No long-term contracts.
We respond within 24 hours with next steps.
Enterprise-grade security, auditability, and policy control